#1
Streamlit โ A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlitAlternatives
Nannyml alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Nannyml
nannyml: post-deployment data science in python
87
Quality
87
Trust
2.1K
Stars
#2
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
43K starsJun 15, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio#3
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
7.1K starsJun 7, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn-contrib/imbalanced-learn#4
Probably the best curated list of data science software in Python.
3.5K starsApr 13, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add krzjoa/awesome-python-data-science#5
Open Machine Learning Course
11K starsMar 1, 2026 pushdata-analysisPythonData Analysis
$ npx skills add Yorko/mlcourse.ai#6
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
2.0K starsJun 9, 2026 pushdata-analysisPythonData Analysis
$ npx skills add WenjieDu/PyPOTS#7
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
24K starsJun 11, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add lukasmasuch/best-of-ml-python#8
Roadmap to becoming an Artificial Intelligence Expert in 2022
31K starsSep 12, 2025 pushdata-analysisJavaScriptData Analysis
$ npx skills add AMAI-GmbH/AI-Expert-Roadmap#9
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
5.0K starsSep 22, 2023 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add Nyandwi/machine_learning_complete#10
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
49K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas#11
๐ธ๏ธ Web apps in pure Python ๐
29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex#12
AKShare is an elegant and simple financial data interface library for Python, built for human beings! ๅผๆบ่ดข็ปๆฐๆฎๆฅๅฃๅบ
20K starsMay 27, 2026 pushdata-analysisPythonData Analysis
$ npx skills add akfamily/akshare#13
scikit-learn: machine learning in Python
66K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn#14
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
2.5K starsNov 19, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add unslothai/hyperlearn#15
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
14K starsApr 22, 2026 pushdata-analysisPythonData Analysis
$ npx skills add Data-Centric-AI-Community/fg-data-profiling#16
Visualizer for pandas data structures
5.2K starsMay 29, 2026 pushdata-analysisTypeScriptData Analysis
$ npx skills add man-group/dtaleHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Nannyml if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.